Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full behavioral burden. It discloses meaningful details: 'Uses a best-in-class multi-model image chain with automatic fallback' and 'Costs 4 credits per colorway,' which convey technical implementation and cost implications. It does not mention side effects like generation time or failure modes, but for a generation tool, the disclosed info is strong.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, each providing distinct value: purpose, output style, and technical/cost details. It is front-loaded with the core action and avoids redundant phrasing. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 6 parameters, no output schema, and moderate complexity. The description explains the overall function and cost, but does not explicitly describe the return value (e.g., image URLs, a gallery, or a status object). It also does not mention the max of 8 colorways, though that is in the schema. Given the lack of output schema, the missing return format is a notable gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds little beyond the schema: it mentions 'Pantone references' and 'per colorway' cost, but does not clarify parameter syntax or relationships. The schema itself provides thorough descriptions (e.g., 'prompt WITHOUT color'), so the description's contribution is marginal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Generate color variants of a garment design' with a specific outcome ('Creates product shots in multiple colors with Pantone references'). This distinguishes it from siblings like generate_fashion_image (single image) and generate_fabric_sim (fabric simulation), making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives a clear context for use (when you want colorway variants of a garment) but does not explicitly mention alternatives or exclusions. It says 'Generate color variants of a garment design' but fails to say 'use this instead of generate_fashion_image when you need multiple colorways' or similar guidance, so the agent lacks direct when-to-use vs. sibling guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.